Putting the ‘graphic’ in infographic

At least, I hope. Download the PDF below to view the infographic and manipulate its size. An image version is located below for reference. I honestly found it very difficult to synthesize my information visually, in a way that was personal and told a visual story. I think I might have needed a narrower topic, or to have perhaps chosen the article option. However, I stuck with it because I think the main purpose of an infographic is to distill complex information down to something manageable and accessible. Did I get there? I certainly tried. Enjoy!

ETEC540 Final Project Infographic (PDF)

References

Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate it. International Conference on Learning Representations. ICLR 2015. https://arxiv.org/abs/1409.0473

Burchardt, A., Lommel, A., & Macketanz, V. (2020). A new deal for translation quality. Universal Access in the Information Society (2021)20, 701-715. https://doi.org/10.1007/s10209-020-00736-5

Kelly, R., & Hou, H. (2021). Empowering learners of English as an
additional language: Translanguaging with machine translation. Language and Education. https://doi.org/10.1080/09500782.2021.1958834

Norman, J. (n.d.). Warren Weaver suggests applying cryptanalysis techniques to translation. History of information.com. https://www.historyofinformation.com/detail.php?id=2990

Poibeau, T. (2017). Machine translation. The MIT Press. http://doi-org.eu1.proxy.openathens.net/10.7551/mitpress/11043.001.0001

Stankeviciute, G., Kasperaviciene, R., & Horbacauskiene, J. (2017). Issues in machine translation. International Journal on Language, Literature, and Culture in Education, (4)1, 75-88.

Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. NIPS. https://arxiv.org/abs/1409.3215

Tomalin, M., Byrne, B., Concannon, S., Saunders, D., & Ullmann, S. (2021). The practical ethics of bias reduction in machine translation: Why domain adaptation is better than data debiasing. Ethics and Information Technology (2021)23, 419-433. https://doi.org/10.1007/s10676-021-09583-1

Wang, H., Wu, H., He, Z., Huang, L., & Church, K. W. (2021). Progress in machine translation. Engineering. http://doi.org/10.1016/j.eng.2021.03.023